Sophie Ahrens

Information Systems · 2012

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sophie Ahrens trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark Newman
  2. Thomas Hofmann
  3. Robin D. Burke
  4. Linyuan Lu
  5. Tao Zhou
  6. Yehuda Koren
  7. David M. Blei
  8. Leo Breiman
  9. Judea Pearl
  10. Peter Mika

Papers from Sophie Ahrens's perspective

Ordered by how strongly the researchers Sophie Ahrens trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers